
Clean Data as the Foundation for AI in Revenue Management
In our last article, we asked: “Artificial intelligence is changing the rules of the game in revenue management. But does that automatically mean the end
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In our last article, we asked: “Artificial intelligence is changing the rules of the game in revenue management. But does that automatically mean the end
Artificial intelligence is changing the rules of the game in revenue management. But does this automatically mean the end of the revenue manager?
This allows you to use data-based forecasts and scenario analyses to increase your budget planning for 2026 in a targeted and effective manner.
With precise rate shopping and the right benchmark, hotels can set their prices in line with the market and remain competitive.
RevPAR alone is no longer enough – hotels need new KPIs, technologies and a rethink in order to remain economically successful.
The classic Google search is disappearing. If you want to be found as a hotel tomorrow, you have to rethink today – and actively utilise the opportunities offered by AI.
Revenue Management is not just about pricing – it’s about offering the right price at the right time to the right customer. But who exactly is the right customer? This is where the concept of market segmentation becomes essential. Without a clear understanding of different customer groups, targeted Revenue Management is almost impossible.
Partner Offers on Booking.com are special rates that do not come directly from the hotel but appear on the platform through third-party suppliers or partner
In revenue management, the optimal utilization of available room capacity is crucial. One of the key methods for making the most profitable business decision is
Revenue management is often perceived as a data-driven discipline. However, behind the tables, charts, and algorithms are guests whose needs and behaviors are reflected in